Research Centers

Research is Expanding the Future

Driving critical research in computer science through academic collaboration.

Centers with Intel

Intel Labs sponsors various science and technology centers at universities around the world in order to foster collaborations and development of communities among Intel and academia. We also collaborate on initiatives with the National Science Foundation and the Semiconductor Research Corporation.

ISTC for Visual Cloud Systems

Centered at Carnegie Mellon University, the ISTC for Visual Cloud Systems aims to record and anaylze the world's visual information so that computers (not humans) can understand and reason about it.

Centered at Georgia Tech, the ISTC for Adversarial-Resilient Security Analytics will study the vulnerabilities of ML algorithms and develop new security approaches to improve the resilience of ML applications.

Colocated between UC Berkeley and Stanford University, the Agile Design center aims to enable a more agile hardware development flow, to quickly and easily modify an existing design.

ICRI for Mobile Networking and Computing - Graduating 2018

Based in China at Tsinghua University, the ICRI for Mobile Networking and Computing is exploring advanced mobile network technologies to support typical applications in the next generation (5G) networks.

ICRI for Internet of Everything

Based in Taiwan at the National Taiwan University, this ICRI will serve as a conduit for research collaboration with the global and local industries to develop practical products and services.

ICRI for Network on Intelligent Systems

Based in Europe, this ICRI will address the major open problems in the design and deployment of intelligent systems that function in the physical world.

ICRI for Collaborative and Autonomous Resilient Systems

Based in Germany, this ICRI will investigate new opportunities for developing significant improvement to (a) the security of autonomous platforms as well as (b) self-defense capabilities of distributed systems.

ISRA for Deep Learning IA

This program with researchers from Berkeley, Stanford, and CMU is focused on advancing state-of-the-art in deep learning while optimizing it for IA platforms.

ISRA for Ultra Low Power Radios for IoT

Looks at approaches for enabling a new generation of ultra-low power (ULP) radios for active low-cost wireless sensor and compute platforms.

Affiliations

Accelerator Rich Architectures with Applications to Healthcare (CDSC)

The Center for Domain-Specific Computing (CDSC) is researching accelerator-rich architectures with applications to health care, in which personalized cancer treatment is added as an application domain in addition to medical imaging.

Productive and Efficient Heterogeneous Programming (ASPIRE)

Berkeley Artificial Intelligence Research (BAIR) Lab

Brings together UC Berkeley researchers across the areas of computer vision, machine learning, natural language processing, planning, and robotics. BAIR includes over two dozen faculty and more than a hundred graduate students pursuing research on fundamental advances in the above areas as well as cross-cutting themes including multi-modal deep learning, human-compatible AI, and connecting AI with other scientific disciplines and the humanities.

Real-Time Intelligent Secure Execution (RISE)

A 5-year research project focused on solving the systems, machine learning, and security challenges required to create an oepn-source, general-purpose, secure stack that can make intelligent decisions on live data in real-time.

Seeks unique data network architectures featuring an information plane using an Information-Centric Networking (ICN) approach and addressing discovery, movement, delivery, management, and protection of information within a network, along with the abstraction of an underlying communication plane creating opportunities for new efficiencies and optimizations across communications technologies that could also address latency and scale requirements.

Addresses the problem of effective software development for diverse hardware architectures through groundbreaking university research that will lead to a significant, measurable leap in software development productivity by partially or fully automating software development tasks that are currently performed by humans.

Semiconductor Research Corporation

JUMP - Joint University Microelectronics Program
Supporting long-term research focused on high performance, energy efficient microelectronics for end-to-end sensing and actuation, signal and information processing, communication, computing, and storage solutions that are cost-effective and secure.

ASCENT focuses on demonstration of foundational material synthesis routes and device technologies, novel heterogeneous integration (package and monolithic) schemes to support the next era of “functional hyper-scaling.”

The ADA Center will reignite system design innovation by drawing on opportunities in application driven architecture and system-driven technology advances, with support from agile system design frameworks that encompass programming languages to implementation technologies.

ComSenTer will develop the technologies for a future cellular infrastructure using hubs with massive spatial multiplexing, providing 1-100Gb/s to the end user, and, with 100-1000 simultaneous independently-modulated beams, aggregate hubs capacities in the 10s of Tb/s.

The CRISP grand challenge is to significantly lower the effort barrier for every day programmers to achieve highly portable, “bare-metal,” and understandable performance across a wide range of heterogeneous, IMS architectures.

The nanoelectronic COmputing REsearch (nCORE) program funds collaborative university research in the U.S. to develop key technologies to enable novel computing and storage paradigms with long-term impact on the semiconductor, electronics, computing, and defense industries. The nCORE program supports the National Strategic Computing Initiative (NSCI) through government-industry-academia collaborations. It will be driven by fundamental research on emerging materials and devices with the potential to achieve significantly improved efficiency, enhanced performance, and new functionalities, beyond the capability of conventional CMOS technologies. The new program is built upon the learning from the Nanoelectronics Research Initiative (NRI).

Graduated Intel Centers

Intel-NTU Connected Context Computing Center

This center aimed to create demonstrable machine-to-machine (M2M) technologies that can showcase the potential of these technologies to transform our everyday activities and environment. Located in Taiwain—NTU. 2010-2016

ICRI for Urban IOT

Based in England at University College London, Imperial College London, and Future Cities Catapult this center researches the compute fabric needed to support an urban Internet of Things at city scale. 2012-2017

ISRA for Low Latency Architectures

ISRA for Software Defined Networks (SDN)

Seeks to make networks more amenable to innovation by extending the benefits of SDN to carrier networks. Research vectors include SDN for carriers, processing traffic in software, services architecture, and deployment scenarios. 2014-2017

ISTC for Visual Computing

Centered at Stanford University. The center sought to bring modern trends in computing (the cloud, crowd sourcing, hand-held computing) to bear on hybrids of computer graphics, animation, image understanding, and large-scale gaming. 2011-2015

ISTC for Embedded Computing

Centered at CMU. Smart Headlights and AndyVision—a planogram generating robot—were both featured at Research at Intel Day in 2012 and were just a few of the many success stories highlighted during the life of the center. 2011-2014

ISTC for Cloud Computing

Centered at Carnegie Mellon University, the ISTC for Cloud Computing research community researched critical new underlying technologies for cloud computing of the future. 2011-2016

ISTC for Pervasive Computing

Centered at the University of Washington, the ISTC for Pervasive Computing brought together research leaders in wireless communication and sensing, AI and ML, computer vision, HCI, and security. 2011-2016